Identifying Expression of Emotions in Czech Text Using Semantic Relations for Dimension Reduction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU91444" target="_blank" >RIV/00216305:26220/11:PU91444 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Identifying Expression of Emotions in Czech Text Using Semantic Relations for Dimension Reduction

Popis výsledku v původním jazyce

Since the amount of information stored in the form of electronic text documents has been rapidly growing over the past few years, there is an increasing demand for tools enabling to automatically analyze these documents and benefit from their emotional content. This paper describes experiments concerned with an automatic analysis of emotions in Czech text. The selected method has some characteristics of hybrid approach to emotion recognition as it is not only based on machine learning but also utilizesa lexical database and derived domain dictionaries. A fundamental part of machine learning methods is training data set and therefore the creation of an emotional corpus is described as well. The purpose of this paper is to introduce implemented system,present and evaluate achieved results of classification of text documents into defined emotion classes.

Název v anglickém jazyce

Identifying Expression of Emotions in Czech Text Using Semantic Relations for Dimension Reduction

Popis výsledku anglicky

Since the amount of information stored in the form of electronic text documents has been rapidly growing over the past few years, there is an increasing demand for tools enabling to automatically analyze these documents and benefit from their emotional content. This paper describes experiments concerned with an automatic analysis of emotions in Czech text. The selected method has some characteristics of hybrid approach to emotion recognition as it is not only based on machine learning but also utilizesa lexical database and derived domain dictionaries. A fundamental part of machine learning methods is training data set and therefore the creation of an emotional corpus is described as well. The purpose of this paper is to introduce implemented system,present and evaluate achieved results of classification of text documents into defined emotion classes.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BD - Teorie informace

OECD FORD obor

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Projekt

<a href="/cs/project/FR-TI2%2F679" target="_blank" >FR-TI2/679: *Média-informační systém s podporou pokročilých multimediálních služeb</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)

ISSN

1213-1539

e-ISSN

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Svazek periodika

2011

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

1-7

Kód UT WoS článku

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EID výsledku v databázi Scopus

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